📚Publications

• Wang X, Li J, Ling Y, Sun Z, Liu Y, Qiu H, Liu S. Current status, challenges, and high-quality development pathways for the integration of artificial intelligence and sports medicine. Chinese Journal of Medicine, 2026, 106(1), 13-18. (In Chinese)
  • This paper summarized key applications and benefits of AI in sports medicine, identified major challenges (data, interpretability, privacy/fairness, regulation/payment), and proposed strategies for high-quality integration into practice.
• Ling Y^#, Mao Z^#, Li J^#, Zhang H, Zhou C, Liu W, Zhou Y, Jiang L, Li M, Zhao H, Nie S, Xu J, Geng P, Xu C, Huang J, Chen F, Zhang J, Sun H. Leveraging plasma concentrations to optimize extracorporeal treatment in acute diquat poisoning: A multi-center retrospective cohort study. Clinical Toxicology, 1–12, 2025.
  • This multi-center retrospective cohort study aimed to evaluate the clinical value of plasma diquat concentrations in guiding personalized extracorporeal treatment regimens (hemoperfusion or a combination of hemoperfusion and continuous veno-venous hemodiafiltration) for patients with acute diquat poisoning.
  • This study included 163 patients with acute diquat poisoning, and they were divided into three groups based on plasma diquat concentrations measured upon presentation to the emergency department: low (<100 μg/L), medium (100–1,000 μg/L), and high (≥1,000 μg/L).

• GBD 2023 Demographics Collaborators. Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: A demographic analysis for the Global Burden of Disease Study 2023. The Lancet, 2025.

• GBD 2023 Causes of Death Collaborators. Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: A systematic analysis for the Global Burden of Disease Study 2023. The Lancet, 2025.

• GBD 2023 Disease and Injury and Risk Factor Collaborators. Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: A systematic analysis for the Global Burden of Disease Study 2023. The Lancet, 2025.

• Ling Y, Meng Q, Zhang Y, Zhang T, Liu K, Chen S, Yuan X, Liu S, Wang S, Yang Z, Jiang H, Fu Y. Investigation on the dynamic trajectory of platelet count in healthy population from 2010 to 2021 in Sichuan Han adult. Chinese Journal of Laboratory Medicine, 2025, 48(9), 1222-1226. (In Chinese)
  • This retrospective study used group-based trajectory modeling to identify the longitudinal patterns and influencing factors of platelet counts among healthy adults in Sichuan Province from 2010 to 2021.
• Yi T, Guo J, Meng Y, Ling Y, Ke Y, Guo Z. MSTI-GNN: A multi-scale spatiotemporal interactive graph neural network method for precise hydropower unit status prediction. Renewable Energy, 2025, 256, 123969.
  • This study proposed a multi-scale spatiotemporal interactive graph neural network (MSTI-GNN). This network uses a dynamic adaptive graph generation module that integrates both long-term stable dependencies and short-term dynamic features, moving beyond traditional static graph construction.
• Ling Y^#, Mao Z^#, Liu W^#, Zhou C, Li J, Jiang L, Li M, Zhao H, Nie S, Wu C, Chen J, Bai G, Ren G, Xu J, Chen F, Zhang J, Sun H. Severity indices of diquat poisoning for triage and prognosis in acute diquat poisoning: A multi-center prospective cohort study. Annals of Emergency Medicine, 2025, 85(6), 512-520.
  • This study developed and validated severity indices for diquat poisoning (SIDPs) that enable emergency physicians to assess mortality risk for triage and 28-day prognosis using self-reported clinical data and laboratory biomarkers.
  • This multicenter cohort study involved 204 patients. Predictors identified by the Burota algorithm and stepwise Cox regression were incorporated into Cox proportional hazards models to develop SIDPs, one for triage and one for prognosis (SIDP-T and SIDP-P, respectively).
  • We launched a user-friendly online platform that enables emergency physicians to apply severity indices directly at the point of care.
• Nie J, Huang T, Sun Y, Peng Z, Yang H, Zheng D, Guo F, Xu M, Ling Y, Zhao W, Yan X, Shui T. Influence of the enterovirus 71 vaccine and the covid-19 pandemic on hand, foot, and mouth disease in China based on counterfactual models: Observational study. JMIR Public Health and Surveillance, 2024, 10, e63146.
  • This study investigated the long-term epidemiological trends of hand, foot, and mouth disease in Yunnan Province, China, and evaluated the impacts of the enterovirus 71 vaccination program and the COVID-19 pandemic using counterfactual autoregressive integrated moving average models.
• Yang Q^#, Wang L^#, Zhang X^#, Lu P^#, Pan D^#, Li S^#, Ling Y^#, Zhi X^#, Xia L, Zhu Y, Chen Y, Liu C, Jin W, Reinhardt JD, Wang X, Zheng Y. Impact of an enhanced recovery after surgery program integrating cardiopulmonary rehabilitation on post-operative prognosis of patients treated with CABG: Protocol of the ERAS-CaRe randomized controlled trial. BMC Pulmonary Medicine, 2024, 24, 512.
  • This protocol designed a pragmatic, randomized-controlled, parallel four-arm, clinical trial to evaluate potential superiority of embedding cardiopulmonary rehabilitation in enhanced recovery after surgery (ERAS) over ERAS alone, as well as to investigate effects of differential timing of cardiopulmonary rehabilitation within ERAS (pre-, post-, perio-operative) on post-operative cardiopulmonary complications following coronary artery bypass grafting surgery.
• Guo Z, Jing X, Ling Y, Yang Y, Jing N, Yuan R, Liu Y. Optimized air quality management based on air quality index prediction and air pollutants identification in representative cities in China. Scientific Reports, 2024, 14, 17923.
  • This study developed a VMD-CSA-CNN-LSTM model to predict air quality index, using variational mode decomposition (VMD), chameleon swarm algorithm (CSA), convolutional neural networks (CNN), and long short-term memory (LSTM) networks.
  • The developed model was validated using data from nine representative cities in China (Hohhot, Yinchuan, Lanzhou, Beijing, Taiyuan, and Xi’an, Shanghai, Nanjing, Wuhan), and random forest algorithm was used to identify major air pollutants in each city.
• Wang X, Li J, Wei X, Liu S, Li J, Li Y, Ling Y, Lu D, Chen J. Research on the construction of a value adjustor for the inpatient rehabilitation services based on the principle of value-based health care. Chinese Journal of Health Policy, 2024, 17(3), 48-55. (In Chinese)
  • This study developed a value adjustor for inpatient rehabilitation services, which can provide comparable assessment of rehabilitation outcomes, and further support value-based payment reform under Chinese healthcare insurance system.
• Chen S^#, Ling Y^#, Zhou F, Qiao X, Reinhardt JD. Trajectories of cognitive decline among people over 45 years old with diabetes in China: A nationally representative longitudinal study (2011~2018). PLOS ONE, 19(5), e0299316.
  • This study found three cognitive trajectories among Chinese adults aged 45 and older with diabetes using data from the nationally representative China Health and Retirement Longitudinal Study (CHARLS).
  • We employed a growth mixture model to identify cognitive trajectories, and examined baseline risk factors using weighted multinomial logistic regression.
• Fernandez G, Asari M, Uy N, Veitata S, Fayazi M, Ling Y, Xu Q, Wang H, Ramos LV, and Singh S. Developing capacity for post-typhoon disaster waste management in Lautoka, Fiji, and Makati, Philippines. APN Science Bulletin, 2023, 13(1).
  • This work aimed to enhance the capacity of Lautoka, Fiji, and Makati, Philippines, for effective post-typhoon disaster waste management.
  • The project conducted training needs assessments, developed and delivered six targeted training modules, facilitated stakeholder workshops, and guided the participatory creation of disaster waste management contingency plans, supported by international academic collaboration.
• Xue Q, Ling Y, Tian B. Portfolio optimization model for gold and bitcoin based on weighted unidirectional dual-layer LSTM model and SMA-slope strategy. Computational Intelligence and Neuroscience, 2022, 1869897.
  • This study integrated a weighted unidirectional dual-layer long short-term memory (LSTM) model for daily price prediction with a particle swarm-optimized simple moving average (SMA) and slope-based trading strategy.
  • The developed model enhanced buy/sell signals using k-slope indicators, and its effectiveness was evaluated through a five-year trading simulation.

Working Papers

• Ling Y^#, Shahmon E^#, Brandeau ML, Yamin D. Multi-scale modeling of periodicity for missing data imputation in time series: A smartwatch application. (Under Review at Artificial Intelligence in Medicine)

(# for equal contribution)